Florian Richoux
Impact in
- Artificial Intelligence top 10%
- Artificial Intelligence in Games
- Reinforcement Learning in Robotics
- AI-based Problem Solving and Planning
- Logic, Reasoning, and Knowledge
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- Educational Games and Gamification
Papers in
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- Artificial Intelligence in Games 8
- AI-based Problem Solving and Planning 3
- Reinforcement Learning in Robotics 2
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- Constraint Satisfaction and Optimization 8
- Optimization and Search Problems 1
- Co-authors
- Santiago Ontañón (2 shared papers)Gabriel Synnaeve (1 shared paper)David G. Churchill (1 shared paper)Mike Preuß (1 shared paper)Philippe Codognet (2 shared papers)Charlotte Truchet (1 shared paper)Daniel Díaz (1 shared paper)Alejandro Arbeláez (1 shared paper)
- Journals
- IEEE Transactions on Computational Intelligence and AI in Games (2 papers)Journal of Heuristics (1 paper)ACM Transactions on Autonomous and Adaptive Systems (1 paper)Constraints (1 paper)IEEE Transactions on Games (1 paper)
- Partner nations
- JapanFranceUnited States
In The Last Decade
Florian Richoux
13 papers receiving 104 citations
Peers
Comparison fields: 5 of 29
- Artificial Intelligence 102
- Developmental and Educational Psychology 19
- Signal Processing 11
- Sociology and Political Science 44
- Computer Networks and Communications 21
Countries citing papers authored by Florian Richoux
This map shows the geographic impact of Florian Richoux's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Florian Richoux with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Florian Richoux more than expected).
Fields of papers citing papers by Florian Richoux
This network shows the impact of papers produced by Florian Richoux. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Florian Richoux. The network helps show where Florian Richoux may publish in the future.
Co-authors
The 12 scholars most cited alongside Florian Richoux, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 68 | |
| 2 | 2014 | 9 | |
| 3 | 2015 | 8 | |
| 4 | 2014 | 7 | |
| 5 | 2016 | 7 | |
| 6 | 2022 | 5 | |
| 7 | 2019 | 3 | |
| 8 | 2021 | 3 | |
| 9 | 2015 | 2 | |
| 10 | 2020 | 2 | |
| 11 | Automatic Cost Function Learning with Interpretable Compositional Networks | 2020 | 1 |
| 12 | 2022 | 1 | |
| 13 | 2015 | 1 |
About Florian Richoux
Florian Richoux is a scholar working on Artificial Intelligence, Computer Networks and Communications, Signal Processing, Sociology and Political Science and Economics and Econometrics, having authored 13 papers that have together received 117 indexed citations. Recurring topics across this work include Artificial Intelligence in Games (8 papers), Constraint Satisfaction and Optimization (8 papers), Data Management and Algorithms (3 papers), AI-based Problem Solving and Planning (3 papers), Reinforcement Learning in Robotics (2 papers), Vehicle Routing Optimization Methods (1 paper), Optimization and Search Problems (1 paper) and Time Series Analysis and Forecasting (1 paper). The work is most often cited by research in Artificial Intelligence (102 citations), Developmental and Educational Psychology (19 citations), Signal Processing (11 citations), Sociology and Political Science (44 citations) and Computer Networks and Communications (21 citations). Florian Richoux has collaborated with scholars based in Japan, France and United States. Frequent co-authors include Santiago Ontañón, Gabriel Synnaeve, David G. Churchill, Mike Preuß, Philippe Codognet, Charlotte Truchet, Daniel Díaz, Alejandro Arbeláez, Salvador Abreu and Tianyu Chen. Their work appears in journals such as IEEE Transactions on Computational Intelligence and AI in Games, Journal of Heuristics, ACM Transactions on Autonomous and Adaptive Systems, Constraints and IEEE Transactions on Games.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.